Engineering Lead

Levi Strauss & Co. is a technology-driven enterprise focused on delivering transformative solutions across retail channels. They are seeking an Engineering Lead to oversee Workforce Management solutions and ensure successful deployment and integration with enterprise systems.

Responsibilities:

• Lead the design and implementation of end-to-end WFM solutions using UKG products. These products include ProWFM, SWP, Datahub, and Boomi integration. The solutions are for operations such as timekeeping, absence management, advanced scheduling, forecasting, etc
• Use AI to enhance WFM processes to improve user experience
• Conduct detailed analysis of business requirements and technical environments to sculpt the design of the application. Assist product teams with complex discoveries and main results
• Use the defined implementation process and have a view of improving connectivity and reliability within implementation milestones and targeted completion dates
• Be the technical subject matter expert for UKG WFM implementations, upgrades, and enhancements
• Architect and govern integration flows between ProWFM and other enterprise systems such as HRIS, payroll, time tracking, ERP, and reporting tools
• Use experience and professional concepts, implementing solutions in different environments, and performing business rule analysis, prioritization and sizing following best practices
• Design scalable and secure Boomi integration solutions, ensuring minimal latency and maximum data accuracy
• Develop technical documentation, including design specifications, user guides, and training materials
• Build capabilities for data pipelines and agentic processes
• Ensure compliance with security and data governance policies across different markets across different geographies
• Guide automation connected commerce and training with multiple partners
• Lead other team members
• Comfortable and excited by solving complex challenges
• Familiarity with Agile methodologies and tools like Scrum or Kanban

Requirements:

• Minimum of 8+ years of experience with 3+ years of experience with UKG (formerly Kronos) ProWFM implementations
• Hold bachelor's degree in information technology, Software Engineering, Computer Science, or related discipline
• Expertise in designing and deploying cloud-based applications, with a preference for GCP
• Have knowledge of using AI for enhancing workflows for the teams
• Technical knowledge with programming languages like Java, Python
• API management and building event-based systems
• Experience with OpenAI concepts (e.g., LLMs, RPA, and ML platforms)
• Experience with multiple integration patterns, have experience with web services, REST APIs, and asynchronous/synchronous communication methods
• Experience with API management platforms, API documentation, versioning, and monitoring with public cloud observability tools
• Experience with event-driven design and data streaming methodologies
• Proficiency in Boomi AtomSphere platform, including custom connectors, APIs, and process flows
• Can engineer and guide teams to maintain maximum automation tests for web services, REST APIs, and other architectural patterns
• Experience in DevOps practices with hands-on knowledge of continuous integration and deployment tools (e.g., Jenkins, GitHub)
• Proficient in Kubernetes/Dockers, serverless architecture, messaging platforms (e.g., IBM MQ, Kafka, GCP Pub/Sub), and cloud integration techniques
• Experience writing test-driven code to ensure quality and maintainability. Proficiency with GitHub, GitHub Actions
• Hands-on experience with RDBMS(SQL), NoSQL, Postgres, BigQuery and Looker studio
• Knowledge of security principles, authentication mechanisms, and encryption techniques within microservices and cloud environments
• Knowledge of data security, encryption, and GDPR compliance
• Coordinate and track multiple deliverables across partners
• Willingness to work flexible hours to accommodate global project needs and team collaborations
• Keep an open-minded about adopting new technologies and skills like AI, data engineering